Objective: To investigate the clinical characteristics, operative methods, and diffusion tensor imaging (DTI) in the resection of intrinsic insular gliomas via transsylvian approach.
Methods: From June 2008 to June 2010, 12 patients with intrinsic insular gliomas were treated via transsylvian microsurgical approach, with preoperative magnetic resonance imaging diffusion tensor imaging (MR DTI) evaluation. The data of these patients were retrospectively analyzed.
Results: All patients had astrocytoma, including 8 patients of Grades I to II, 2 patients of Grades III to IV, and 2 patients of mixed glial tumors. The insular tumors were completely removed in 9 patients, whereas they were only partially removed from 3 patients. No death was related to the operations. Two patients had transient aphasia, 2 experienced worsened hemiplegia on opposite sides of their bodies, and 2 had mild hemiplegia and language function disturbance.
Conclusions: Most of the insular gliomas are of low grade. By evaluating the damage of the corticospinal tract through DTI and using ultrasonography to locate the tumors during operation, microsurgery treatment removes the lesions as much as possible, protects the surrounding areas, reduces the mobility rate, and improves the postoperative quality of life.
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http://dx.doi.org/10.3969/j.issn.2095-3941.2012.01.008 | DOI Listing |
Front Neurol
October 2024
Department of Neurosurgery, Evangelisches Klinikum Bethel, Universitätsklinikum Ostwestfalen-Lippe, Bielefeld, Germany.
Object: Tumors in the temporo-mesial region often extend into the insula and vice versa. The present study investigated the results of a surgical strategy that combines principles of tumor and epilepsy surgery.
Methods: We retrospectively analyzed 157 consecutive patients with intrinsic brain tumors in the temporo-mesial region, with varying degrees of extensions into the insula (44 patients, 28.
Neurobiol Aging
December 2024
Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Resting-state functional connectivity (FC) MRI is sensitive to brain changes in Alzheimer's disease in preclinical stages, however studies in persons with subjective cognitive decline (SCD) have reported conflicting findings, and no study is available at 7T MRI. In this study, we investigated FC alterations in sixty-six participants recruited at the Geneva Memory Center (24 controls, 14 SCD, 28 cognitively impaired [CI]). Participants were classified as SCD if they reported cognitive complaints without objective cognitive deficits, and underwent 7T fMRI to assess FC in canonical brain networks and their association with cognitive/clinical features.
View Article and Find Full Text PDFCells
September 2024
INMED, INSERM, Aix-Marseille University, 13273 Marseille, France.
Many expectant mothers use CBD to alleviate symptoms like nausea, insomnia, anxiety, and pain, despite limited research on its long-term effects. However, CBD passes through the placenta, affecting fetal development and impacting offspring behavior. We investigated how prenatal CBD exposure affects the insular cortex (IC), a brain region involved in emotional processing and linked to psychiatric disorders.
View Article and Find Full Text PDFAm J Phys Med Rehabil
July 2024
Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Rd 2, Guangzhou 510080, PR China.
Objective: Chronic low back pain (cLBP) affects nociceptive responses in the cerebellum, which leads to increased pain perception and sensorimotor control dysfunction. This study aimed to investigate altered functional connectivity in the anterior and posterior lobes of the cerebellum during cLBP.
Design: Twenty patients with cLBP and 18 healthy participants underwent 3.
Sci Rep
July 2024
Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Preparatory brain activity is a cornerstone of proactive cognitive control, a top-down process optimizing attention, perception, and inhibition, fostering cognitive flexibility and adaptive attention control in the human brain. In this study, we proposed a neuroimaging-informed convolutional neural network model to predict cognitive control performance from the baseline pre-stimulus preparatory electrophysiological activity of core cognitive control regions. Particularly, combined with perturbation-based occlusion sensitivity analysis, we pinpointed regions with the most predictive preparatory activity for proactive cognitive control.
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